DBMS > Elasticsearch vs. MarkLogic vs. Teradata Aster

System Properties Comparison Elasticsearch vs. MarkLogic vs. Teradata Aster

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Editorial information provided by DB-Engines
Name	Elasticsearch  Xexclude from comparison	MarkLogic  Xexclude from comparison	Teradata Aster  Xexclude from comparison
			Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
Description	A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric	Operational and transactional Enterprise NoSQL database	Platform for big data analytics on multistructured data sources and types
Primary database model	Search engine	Document store Native XML DBMS RDF store as of version 7 Search engine	Relational DBMS
Secondary database models	Document store Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 156.00 Rank #8   Overall #1   Search engines	Score 10.00 Rank #50   Overall #9   Document stores #1   Native XML DBMS #1   RDF stores #4   Search engines
Website	www.elastic.co/­elasticsearch	www.marklogic.com
Technical documentation	www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html	docs.marklogic.com
Developer	Elastic	MarkLogic Corp.	Teradata
Initial release	2010	2001	2005
Current release	7.8.0, June 2020	9.0, 2017
License Commercial or Open Source	Open Source Elastic License	commercial restricted free version is available	commercial
Cloud-based only Only available as a cloud service	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language	Java	C++
Server operating systems	All OS with a Java VM	Linux OS X Windows	Linux
Data scheme	schema-free Flexible type definitions. Once a type is defined, it is persistent	schema-free Schema can be enforced	Flexible Schema (defined schema, partial schema, schema free) defined schema within the relational store; partial schema or schema free in the Aster File Store
Typing predefined data types such as float or date	yes	yes	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	yes	yes in Aster File Store
Secondary indexes	yes All search fields are automatically indexed	yes	yes
SQL Support of SQL	SQL-like query language	yes SQL92	yes
APIs and other access methods	Java API RESTful HTTP/JSON API	Java API Node.js Client API ODBC proprietary Optic API Proprietary Query API, introduced with version 9 RESTful HTTP API SPARQL WebDAV XDBC XQuery XSLT	ADO.NET JDBC ODBC OLE DB
Supported programming languages	.Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby	C C# C++ Java JavaScript (Node.js) Perl PHP Python Ruby	C C# C++ Java Python R
Server-side scripts Stored procedures	yes	yes via XQuery or JavaScript	R packages
Triggers	yes by using the 'percolation' feature	yes	no
Partitioning methods Methods for storing different data on different nodes	Sharding	Sharding	Sharding
Replication methods Methods for redundantly storing data on multiple nodes	yes	yes	yes Dimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce Offers an API for user-defined Map/Reduce methods	ES-Hadoop Connector	yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs	yes SQL Map-Reduce Framework
Consistency concepts Methods to ensure consistency in a distributed system	Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all	Immediate Consistency	Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	ACID can act as a resource manager in an XA/JTA transaction	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes
Durability Support for making data persistent	yes	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.	Memcached and Redis integration	yes, with Range Indexes	no
User concepts Access control		Role-based access control at the document and subdocument levels	fine grained access rights according to SQL-standard
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More resources
	Elasticsearch	MarkLogic	Teradata Aster
DB-Engines blog posts	PostgreSQL is the DBMS of the Year 2017 2 January 2018, Paul Andlinger, Matthias Gelbmann Elasticsearch moved into the top 10 most popular database management systems 3 July 2017, Matthias Gelbmann MySQL, PostgreSQL and Redis are the winners of the March ranking 2 March 2016, Paul Andlinger show all